Prof. Dr. Andreas Biesdorf

Teaching and research areas

  • Strategic Architecture Definition and Management
  • Data- and Information Management
  • Digital Transformation


Dr. Andreas Biesdorf is Professor for Business Information Systems at Trier University of Applied Sciences with a focus on Information Management and Digital Transformation. Emphasis of his work is on data and information management, database technologies, information systems, and the interaction among them through strategic architecture management.

Prior to joining our department, Dr. Biesdorf gained several years of practical experience, mainly in the industrial environment, most recently as a senior software architect and head of research group for Architecture Definition and Management at Siemens Technology in Munich and Erlangen.

His academic education includes stages at the Heidelberg University, the German Cancer Research Center, Heilbronn University as well as the University of Utah (USA).

LinkedIn Profile


selected publications
  • Christof Tinnes, Wolfgang Rössler, Uwe Hohenstein, Torsten Kühn, Andreas Biesdorf, and Sven Apel. Sometimes You Have to Treat the Symptoms: Tackling Model Drift in an Industrial Clone-and-Own Software Product Line. In Proceedings of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM, November 2022. Industry Track.

  • Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel: Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. ASE 2021: 930-942
  • Manoj Bhat, Klym Shumaiev, Uwe Hohenstein, Andreas Biesdorf, Florian Matthes: The Evolution of Architectural Decision Making as a Key Focus Area of Software Architecture Research: A Semi-Systematic Literature Study. ICSA 2020: 69-80
  • Roland Hülse, Andreas Biesdorf, Karl Hörmann, Boris Stuck, Michael Erhart, Manfred Hülse, Angela Wenzel: Peripheral vestibular disorders: an epidemiologic survey in 70 million individuals. Otology & Neurotology 40 (1), 88-95
  • Manoj Bhat, Christof Tinnes, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: ADeX: A Tool for Automatic Curation of Design Decision Knowledge for Architectural Decision Recommendations. ICSA Companion 2019: 158-161
  • Christof Tinnes, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Ideas on improving software artifact reuse via traceability and self-awareness. SST@ICSE2019: 13-16
  • Iris Figalist, Andreas Biesdorf, Christoph Brand, Sebastian Feld, Marie Kiermeier: Supporting the DevOps Feedback Loop using Unsupervised Machine Learning. INISTA2019: 1-6
  • Uwe Hohenstein, Sonja Zillner, Andreas Biesdorf: Architectural Considerations for a Data Access Marketplace Based upon API Management. DATA (Revised Selected Papers) 2018: 91-115
  • Klym Shumaiev, Manoj Bhat, Oleksandra Klymenko, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Uncertainty expressions in software architecture group decision making: explorative study. ECSA (Companion) 2018: 42:1-42:8
  • Akash Manjunath, Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Florian Matthes: Decision Making and Cognitive Biases in Designing Software Architectures. ICSA Companion 2018: 52-55
  • Manoj Bhat, Klym Shumaiev, Kevin Koch, Uwe Hohenstein, Andreas Biesdorf, Florian Matthes: An Expert Recommendation System for Design Decision Making: Who Should be Involved in Making a Design Decision? ICSA 2018: 85-94
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Michael Hassel, Florian Matthes: An Ontology-based Approach for Software Architecture Recommendations. AMCIS 2017
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Automatic Extraction of Design Decisions from Issue Management Systems: A Machine Learning Based Approach. ECSA 2017: 138-154
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Michael Hassel, Florian Matthes: Meta-model based framework for architectural knowledge management. ECSA Workshops 2016: 12
  • Andreas Biesdorf, Karl Rohr, Duan Feng, Hendrik von Tengg-Kobligk, Fabian Rengier, Dittmar Böckler, Hans-Ulrich Kauczor, Stefan Wörz: Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration.Medical Image Anal. 16(6): 1187-1201 (2012)
  • Andreas Biesdorf, Karl Rohr, Hendrik von Tengg-Kobligk, Stefan Wörz: Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. MICCAI (1) 2010: 444-451
  • Andreas Biesdorf, Stefan Wörz, Hans-Jürgen Kaiser, Christoph Stippich, Karl Rohr: Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information. MICCAI (1) 2009: 607-615
Prof. Dr. Andreas Biesdorf
Prof. Dr. Andreas Biesdorf
Professor FB Wirtschaft


+49 651 8103-382


Schneidershof | Building K | Room 208


  • Member of the Faculty Council
  • Head of  Business Information Systems Dual programme (B.Sc.)
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